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New paper: Neural Quantum States in Mixed Precision
This work grew out of a particularly synergistic interdisciplinary collaboration with Massimo Solinas, Agnes Valenti, and Roeland Wiersema at the Center for Computational Quantum Physics, Flatiron Institute. A basic, but … Read More
Tail-Sensitive Convergence Guarantees for Unadjusted Hamiltonian Monte Carlo
I’m pleased to share a new paper with Siddharth Mitra and Andre Wibisono (both at Yale), titled: Tail-Sensitive KL and Rényi Convergence of Unadjusted Hamiltonian Monte Carlo via One-Shot Couplings. … Read More
Extending No-U-Turn Ideas to Discrete State Spaces
How far can the ideas behind the No-U-Turn Sampler really go? We’ve been thinking about this question for some time, and it motivates recent work with my student Zichu Wang … Read More